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Ong et al., 2020 - Google Patents

Machine learning for human design: Sketch interface for structural morphology ideation using neural networks

Ong et al., 2020

View PDF
Document ID
13046928416064383103
Author
Ong B
Danhaive R
Mueller C
Publication year
Publication venue
Proceedings of IASS Annual Symposia

External Links

Snippet

Formal computational approaches in the realm of engineering and architecture, such as parametric modelling and optimization, are increasingly powerful, allowing for systematic and rigorous design processes. However, these methods often bring a steep learning curve …
Continue reading at par.nsf.gov (PDF) (other versions)

Classifications

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    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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